A bunch of data analytics notebooks done with (JetBrains DataLore)[https://datalore.jetbrains.com] The .ipynb is the exported Jupyter Notebook, .html is the exported rendering from Datalore, and .py contains the code in plain Python.
University of Helsinki / Reactor Building AI - Advanced Honors Python workbook. As I was making my way through the (course)[https://buildingai.elementsofai.com], I kept a Jupyter notebook of the tasks. I completed the course assignments with Advanced Honors.
The included code can be a useful starting point for developing AI and machine learning algorithms.
Notebook WIP analysis, won't likely see much progress since I can't remember what I was going to analyze with this. Think it was mainly about scraping data from the web, particularly World Fact Book, as it has a ton of interesting data.
Notebook for a WIP open data analytics course I started for fun. Might finish the course one day.
A "coding test" for a Finnish company I once applied to. Ended up running out of time due to some technical challenges, but still got an offer.
A simple trade analysis from the U.S. perspective, showing that when comparing trade partners, it would make sense to use per capita. For example, Finland is a small country, and it would seem that there's a trade deficit, which some take to imply Finland is taking advantage of the USA, shipping more items to America, while not buying from America. However, if you take in the fact that USA has hundreds of millions of people, while Finland has 5 million, when adjusted per capita the results are the opposite: A Finn spends way more on U.S. goods than an American spends on Finnish!